Experience: 8+ years of data engineering experience with a robust focus on Snowflake architecture.
SQL: Mastery of advanced SQL for complex data querying, optimization, and analytical processing.
Python: Proficiency in Python for data pipeline automation, scripting, and building custom ETL/ELT processes.
dbt: Extensive experience using dbt (Data Build Tool) for data modeling, testing, and documentation.
Cloud: Hands-on experience with cloud platforms (AWS, Azure, or GCP), including cloud storage and security.
Pipelines: Proven track record of designing, building, and maintaining robust data pipelines.
Data Modeling: Robust understanding of data warehousing concepts, including Star Schema and Snowflake Snowpark.
Performance: Experience in Snowflake performance tuning, query optimization, and cost management.
CI/CD: Familiarity with version control (Git) and data pipeline deployment workflows.
Collaboration: Ability to work with cross-functional teams to translate business needs into technical solutions.

📌 Snowflake Data Engineer Hyderabad
🏢 RandomTrees
📍 Hyderabad